Self-learning machine vision

被引：0
|
作者：
Acuity Imaging Inc, Nashua, United States [1 ]
机构：
来源：
Ind Comput | / 6卷 / 12-15期
关键词：
Image analysis - Inspection - Learning systems - Manufacturing data processing - Neural networks - Quality control - Signal filtering and prediction;
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学科分类号：
摘要：
A technique is presented for simplifying the training process of machine vision systems in judging the quality of parts they were designed to inspect. The show-and-go technology trains a vision system by simply showing it several examples of good parts. The system can then `remember' what characteristics constitute a good part and can use this information to inspect the rest of the parts. Several characteristics of the show-and-go machine vision are discussed.
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